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Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: Quickdraw

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MetythornPenn/README.md

  • 🎆 My Tech Stack :

    • Programming Language: Python, Javascript Typescript, C++
    • AI: Pytorch
    • Backend: FastAPI, Postgres, SQLModel, UV
    • Frontend: NextJS, Tailwind
    • Mobile: React Native, Nativewind
    • DevOps: Docker, Docker Compose, Docker swarm

  • 📝 How to reach me [email protected]

  • ❇️ My blog metythorn.com

  • 🔥 Tools I've built:

    • vitabooth : A cute photobooth web for my girl 💗
    • ai-stack : Boilerplate code for AI development.
    • api-stack : Boilerplate code for API development.
    • lib-stack : Boilerplate code for python library development.
    • doc-stack : Boilerplate code for documentation the project.
    • pykhmernlp : Collects of khmer tools to work with khmer language.
    • autocrop_kh | demo : A simple model to autocrop document from background.
    • ocr_toolkits : A collection funcs to work with Khmer OCR.
    • face_toolkits : A collection funcs to work with Khmer OCR.
    • tts_toolkits : A collection funcs to work with Khmer TTS.
    • asr_toolkits : A collection funcs to work with Khmer ASR.
    • sdab : A small model for Khmer Speech to Text training with a small dataset.

stats graph languages graph

python logo typescript logo javascript logo react logo nodejs logo fastapi logo tensorflow logo pytorch logo ubuntu logo

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  1. ocr_toolkits ocr_toolkits Public

    Collection of functions to work with ocr and synthetic data generator

    Python 4

  2. pykhmernlp pykhmernlp Public

    Collections of Khmer language toolkit.

    Python 1

  3. api-stack api-stack Public template

    Boilerplate code for API development

    Python 1

  4. ai-stack ai-stack Public template

    Boilerplate code for AI development

    Python 1

  5. lib-stack lib-stack Public template

    Boilerplate code for python library development

    Python 1

  6. awesome-ai awesome-ai Public

    A curated list of awesome AI resources—including papers, datasets, projects, and more—organized by field.

    1